① Participate in the research and development of quantitative platforms, complete various program development work such as real trading, market quotations, backtesting, algorithms, factors, etc., and provide support for strategy research and development and trading

② Cooperate with IT personnel to participate in the development of low-latency, high-performance high-frequency trading systems and provide software solutions such as testing and optimization for existing trading systems

③ Collaborate with strategy researchers to identify priorities, provide custom software solutions, and improve the investment process

④ Participate in the promotion of data collation and business process automation

① Bachelor degree or above from key colleges and universities, majors in computer science, software engineering, mathematics, statistics, etc.

② Solid analytical skills and technical background in mathematics, computer science or finance

③ In a low-latency environment, be proficient in one or more programming languages (C++/Python, etc.)

④ Experience in distributed computing, natural language processing, machine learning, platform development, network or system design

⑤ Have excellent problem-finding and problem-solving skills, and be enthusiastic about solving challenging problems

⑥ Have excellent teamwork ability and rapid learning ability

⑦ Bonus points: Participated in the development of high-frequency trading systems, familiar with stock and futures market data, proficient in numerical computing and high-performance scientific computing, familiar with commonly used artificial intelligence and machine learning algorithms and their implementation, and won awards in programming competitions such as ICPC or NOI